SQL
SQL Bits 2025
This session explores practical techniques to migrate SQL databases to Fabric using these tools, enabling you to make the most of Fabric’s ecosystem without discarding your existing SQL investments.
DevOps
Fabric
MSFT Zero to Hero - SQL Meets Fabric
Last Friday, I had the pleasure of presenting a live session as part of the Microsoft Zero to Hero series, focused on a topic close to my heart: modernizing SQL workloads in Microsoft Fabric without starting from scratch.
Fabric
Unlocking Fabric Automation: Lessons, Possibilities, and Real-World Insights
Join me as I introduce FabricCatalyst, a PowerShell-driven solution that automates Microsoft Fabric deployments using the Fabric REST API. Discover three deployment approaches—Auto, Custom, and Map—along with real-world use cases, challenges, and insights to kickstart your automation journey!
Fabric
SQL Meets Fabric (Series)
Explore the SQL Meets Fabric series! Learn how to migrate Azure SQL databases into Microsoft Fabric with tools like mirrored databases, DACPACs, and BACPACs. Unlock real-time analytics, modernize workflows, and bridge legacy SQL systems with Fabric’s cutting-edge ecosystem.
AzDO Pipelines
Create a Visual Studio Database project, host in DevOps Git-repo and deploy with pipelines
Learn to create a Visual Studio Database project, host it in a DevOps Git repo, and deploy it using Azure DevOps pipelines.
Databricks
Streamlining Databricks: CI/CD your Notebooks with DevOps Pipelines and orchestrate via Azure Data Factory (Series)
On this series I'm going to show you how to provision your Databricks infrastructure with BICEP and to connect your workspace to Azure's Entra ID to manage users & groups. Furthermore, I'll show you how to deploy your notebooks across Environments with yaml pipelines and orchestrate with ADF
AzDO Pipelines
Automating ADF's CI/CD with Selective Deployment on Shared instances (Generation 3)
This would be our final leap forward where I will divide ADF components into two groups two groups: Core and Data-Product; I'll explain why I think this is a good approach for enterprise scale setups where you might have a team dedicated to provide infrastructure services.
AzDO Pipelines
Automating ADF's CI/CD with Selective Deployment (Generation 2)
This would be a leap forward from publishing a Full ARM into a Selective Deployment of Components, I'll introduce Azure DevOps Marketplace and show you how to install the extension Deploy Azure Data Factory (#adftools) created by Kamil Nowinski and step-by-step how to configure our ADF.
AzDO Pipelines
Automating ADF's CI/CD with Full Deployment (Generation 1)
I'll show step-by-step how to configure the The new CI/CD flow described by Microsoft and explain what in which cases I recommend you to use this simplistic, yet, powerful method; I'll also include some best-practices and recommendations.
Azure Data Factory
Understanding ADF authoring modes and Publishing Cycle
Understanding authoring modes is of particular importance when we are trying to get our ADF into a Continuous Integration and Delivery (CI/CD) flow, this is why I will start by explaining what are Live vs Git authoring modes and how the publishing cycle works.
Azure Data Factory
Selective deployment of Azure Data Factory (ADF) components (Series)
Adding ADF the ability to selectively deploy components will significantly enhance the flexibility and efficiency of your data integration processes by allowing you to deploy specific components based on your business needs.
BICEP
Infrastructure-as-code made easy with Bicep language
In this article, we will explore what Bicep is, how it works, and how it can help you simplify and automate your Azure deployments.